Bio-Inspired Computational Algorithms and Their Applications (Record no. 45162)

MARC details
000 -LEADER
fixed length control field 02345naaaa2200301uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/65712
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220219213322.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 2358
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789535102144
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789535156383
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.5772/2358
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UM
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gao, Shangce
Relationship edt
245 10 - TITLE STATEMENT
Title Bio-Inspired Computational Algorithms and Their Applications
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. IntechOpen
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (434 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. Bio-Inspired Computational Algorithms and Their Applications is a compendium that addresses this need. It integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques. The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/3.0/
Source of term cc
-- https://creativecommons.org/licenses/by/3.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer programming / software development
Source of heading or term bicssc
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Algorithms & data structures
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gao, Shangce
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mts.intechopen.com/storage/books/1940/authors_book/authors_book.pdf">https://mts.intechopen.com/storage/books/1940/authors_book/authors_book.pdf</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/65712">https://directory.doabooks.org/handle/20.500.12854/65712</a>
Access status 0
Public note DOAB: description of the publication

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